Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation

Author:

Yan Jingkun,Xiao XiuchunORCID,Li Hongxin,Zhang JiliangORCID,Yan Jingwen,Liu Mei

Funder

National Natural Science Foundation of China

Fund of Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, China

International Science and Technology Cooperation Program of China

Natural Science Foundation of Gansu Province

Sichuan Science and Technology Program

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Hunan Province

Research Foundation of Education Bureau of Hunan Province, China

Project of Enhancing School With Innovation of Guangdong Ocean University

Key Lab of Digital Signal and Image Processing of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Accelerated Recurrent Neural Network Dynamics for Time-Varying Lyapunov Equation Solving;2024 Panhellenic Conference on Electronics & Telecommunications (PACET);2024-03-28

2. Complex Double Integration Enhanced ZNN with Rejection of Linear Noise for Computing Time-Dependent Sylvester Equation;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

3. Improved zeroing neural models based on two novel activation functions with exponential behavior;Theoretical Computer Science;2024-02

4. A Novel Solution to the Time-Varying Lyapunov Equation: The Integral Dynamic Learning Network;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-11

5. Solving Time-Varying Nonsymmetric Algebraic Riccati Equations With Zeroing Neural Dynamics;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-10

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